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Update app.py
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app.py
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from flask import Flask, request, jsonify
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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import requests
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app = Flask(__name__)
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#
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model_name = "souljoy/gpt2-small-chinese-cluecorpussmall"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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#
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# 基本對話生成函數
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def generate_reply(text):
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(
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**inputs,
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max_new_tokens=40,
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do_sample=True,
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top_k=50,
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top_p=0.95,
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temperature=0.8
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)
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reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return reply
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#
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@app.route("/", methods=["GET"])
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def index():
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return "✅ Flask server is running
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# Telegram webhook
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@app.route("/telegram", methods=["POST"])
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def telegram_webhook():
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data = request.get_json()
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if not data:
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return jsonify({"
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text = message.get("text", "")
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reply = generate_reply(
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"text": reply
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})
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app.run()
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from flask import Flask, request, jsonify, Response
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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import requests
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# 初始化 Flask
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app = Flask(__name__)
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# Telegram Token 與 API URL
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TELEGRAM_TOKEN = "7967078631:AAH9viY8zWZ6mi7krxw1RSz5eycrI9Lce8Q"
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TELEGRAM_URL = f"https://api.telegram.org/bot{TELEGRAM_TOKEN}/sendMessage"
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# 載入中文輕量語言模型
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model_name = "souljoy/gpt2-small-chinese-cluecorpussmall"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# 建立主回應函數
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def generate_reply(prompt):
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inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=512)
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outputs = model.generate(
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**inputs,
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max_new_tokens=40,
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do_sample=True,
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top_k=50,
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top_p=0.95,
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temperature=0.8,
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pad_token_id=tokenizer.eos_token_id
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)
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reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return reply.strip()
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# ✅ Space首頁顯示
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@app.route("/", methods=["GET"])
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def index():
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return Response("✅ Flask server is running and ready to receive Telegram messages!", mimetype="text/plain")
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# ✅ Telegram webhook endpoint
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@app.route("/telegram", methods=["POST"])
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def telegram_webhook():
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data = request.get_json()
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if not data or "message" not in data:
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return jsonify({"status": "ignored"}), 200
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message = data["message"]
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chat_id = message["chat"]["id"]
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user_text = message.get("text", "")
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if not user_text:
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return jsonify({"status": "no text"}), 200
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try:
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reply = generate_reply(user_text)
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except Exception as e:
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reply = "⚠️ 系統錯誤,請稍後再試。"
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requests.post(TELEGRAM_URL, json={
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"chat_id": chat_id,
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"text": reply
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})
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return jsonify({"status": "ok"}), 200
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